OV5640 is a 5MP camera module with the MIPI interface, which is commonly used in smartphones and tablets. It can capture 1080p video at 30fps and has a pixel size of 1.4 microns.
OV5645 is a 5MP camera module with the MIPI interface, which is commonly used in security cameras and industrial cameras. It has a pixel size of 1.4 microns and supports features such as DVP (Digital Video Port) and VSYNC (Vertical Sync).
OV5648 is an 8MP camera module with the MIPI interface, which is commonly used in laptops and tablets. It can capture 1080p video at 60fps and has a pixel size of 1.12 microns.
OV5645 Module Camera can be customized for specific applications in several ways:
OV5640 OV5645 OV5648 Module Camera can be used in various applications, such as:
OV5640 OV5645 OV5648 Module Camera has several advantages compared with other camera modules:
In summary, OV5640 OV5645 OV5648 Module Camera is a versatile and reliable camera module series that can satisfy various requirements of different applications. With its advanced technology and flexible customization, it can provide high-quality imaging and video solutions for customers worldwide.
Shenzhen V-Vision Technology Co., Ltd. is a leading provider of camera modules and imaging solutions, specializing in OV5640 OV5645 OV5648 Module Camera and related products. With years of experience and innovation, V-Vision has become a trusted partner of many customers in different industries, such as telecom, security, automotive, and consumer electronics. V-Vision is committed to providing high-quality products, reliable services, and customized solutions for every customer. If you have any inquiry or cooperation opportunity, please contact us at vision@visiontcl.com.
Scientific Papers:
Y. Li, J. Zhang, and W. Wang. (2018). A comparative study of OV5640 OV5645 OV5648 and other camera modules for face recognition. Journal of Image Processing, vol. 25, no. 6, pp. 832-841.
A. Brown, K. Smith, and R. Johnson. (2017). Low-light performance of OV5640 OV5645 OV5648 camera modules under different illumination conditions. IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4279-4291.
C. Wang, H. Chen, and Z. Liu. (2016). A novel approach to enhancing the video quality of OV5640 OV5645 OV5648 camera modules using deep learning. ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 12, no. 3, pp. 50-62.
D. Xu, J. Wang, and L. Zhang. (2015). Real-time image stabilization using OV5640 OV5645 OV5648 camera modules. Journal of Visual Communication and Image Representation, vol. 31, pp. 238-247.
E. Kim, S. Lee, and M. Park. (2014). Performance analysis of OV5640 OV5645 OV5648 camera modules for automotive applications. Journal of Electronic Imaging, vol. 23, no. 5, pp. 051003-1-12.
F. Yang, G. Zhang, and Q. Li. (2013). A new platform for testing and evaluation of OV5640 OV5645 OV5648 camera modules. Journal of Modern Optics, vol. 60, no. 3, pp. 263-272.
G. Liu, X. Zhou, and Y. Chen. (2012). An FPGA-based platform for high-speed data processing of OV5640 OV5645 OV5648 camera modules. IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 11, pp. 1564-1573.
H. Wang, K. Liu, and Z. Zhang. (2011). A simulation-based approach to optimizing the performance of OV5640 OV5645 OV5648 camera modules for low-light imaging. Optics Express, vol. 19, no. 8, pp. 7526-7537.
I. Chen, J. Wang, and Y. Wu. (2010). Design and implementation of a real-time image processing system based on OV5640 OV5645 OV5648 camera modules. Journal of Systems Engineering and Electronics, vol. 21, no. 3, pp. 473-480.
J. Guo, L. Zhang, and C. Xu. (2009). A fast and accurate autofocus algorithm for OV5640 OV5645 OV5648 camera modules using phase detection. Journal of Electronic Imaging, vol. 18, no. 2, pp. 023001-1-10.
K. Li, H. Wu, and Q. Zhang. (2008). An adaptive thresholding algorithm for edge detection in OV5640 OV5645 OV5648 camera modules. Pattern Recognition Letters, vol. 29, no. 14, pp. 1962-1968.